Pass Guaranteed Pass-Sure 1Z0-1122-25 - Test Oracle Cloud Infrastructure 2025 AI Foundations Associate Pdf

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Oracle 1Z0-1122-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Intro to DL Foundations: This section assesses the expertise of Deep Learning Engineers in understanding deep learning frameworks and architectures. It covers fundamental concepts of deep learning, introduces convolutional neural networks (CNN) for image processing, and explores sequence models like recurrent neural networks (RNN) and long short-term memory (LSTM) networks for handling sequential data.
Topic 2	OCI Generative AI and Oracle 23ai: This section evaluates the skills of Cloud AI Architects in utilizing Oracle’s generative AI capabilities. It includes a deep dive into OCI Generative AI services, Autonomous Database Select AI for enhanced data intelligence and Oracle Vector Search for efficient information retrieval in AI-driven applications.
Topic 3	Intro to OCI AI Services: This section tests the expertise of AI Solutions Engineers in working with OCI AI services and related APIs. It provides insights into key AI services such as language processing, computer vision, document understanding, and speech recognition, allowing professionals to leverage Oracle’s AI ecosystem for building intelligent applications.
Topic 4	Intro to ML Foundations: This section evaluates the knowledge of Machine Learning Engineers in understanding machine learning principles and methodologies. It explores the basics of supervised learning, focusing on regression and classification techniques, along with unsupervised learning methods such as clustering and anomaly detection. It also introduces reinforcement learning fundamentals, helping professionals grasp the different approaches used to train AI models.
Topic 5	Intro to AI Foundations: This section of the exam measures the skills of AI Practitioners and Data Analysts in understanding the fundamentals of artificial intelligence. It covers key concepts, AI applications across industries, and the types of data used in AI models. It also explains the differences between artificial intelligence, machine learning, and deep learning, providing clarity on how these technologies interact and complement each other.

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q18-Q23):

NEW QUESTION # 18
How does AI enhance human efforts?

A. By processing data at a speed and effectiveness far beyond human capability
B. By completely replacing human workers in all tasks
C. By increasing the physical strength of humans
D. By deleting data humans need to handle

Answer: A

Explanation:
AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI's ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.

NEW QUESTION # 19
What is the key feature of Recurrent Neural Networks (RNNs)?

A. They process data in parallel.
B. They are primarily used for image recognition tasks.
C. They have a feedback loop that allows information to persist across different time steps.
D. They do not have an internal state.

Answer: C

Explanation:
Recurrent Neural Networks (RNNs) are a class of neural networks where connections between nodes can form cycles. This cycle creates a feedback loop that allows the network to maintain an internal state or memory, which persists across different time steps. This is the key feature of RNNs that distinguishes them from other neural networks, such as feedforward neural networks that process inputs in one direction only and do not have internal states.
RNNs are particularly useful for tasks where context or sequential information is important, such as in language modeling, time-series prediction, and speech recognition. The ability to retain information from previous inputs enables RNNs to make more informed predictions based on the entire sequence of data, not just the current input.
In contrast:
Option A (They process data in parallel) is incorrect because RNNs typically process data sequentially, not in parallel.
Option B (They are primarily used for image recognition tasks) is incorrect because image recognition is more commonly associated with Convolutional Neural Networks (CNNs), not RNNs.
Option D (They do not have an internal state) is incorrect because having an internal state is a defining characteristic of RNNs.
This feedback loop is fundamental to the operation of RNNs and allows them to handle sequences of data effectively by "remembering" past inputs to influence future outputs. This memory capability is what makes RNNs powerful for applications that involve sequential or time-dependent data.

NEW QUESTION # 20
Which feature is NOT available as part of OCI Speech capabilities?

A. Uses extensive data science experience to operate
B. Supports multiple languages including English, Spanish, and Portuguese
C. Transcribes audio and video files into text
D. Provides timestamped, grammatically accurate transcriptions

Answer: A

Explanation:
OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.

NEW QUESTION # 21
What does "fine-tuning" refer to in the context of OCI Generative AI service?

A. Doubling the neural network layers
B. Upgrading the hardware of the AI clusters
C. Adjusting the model parameters to improve accuracy
D. Encrypting the data for security reasons

Answer: C

Explanation:
Fine-tuning in the context of the OCI Generative AI service refers to the process of adjusting the parameters of a pretrained model to better fit a specific task or dataset. This process involves further training the model on a smaller, task-specific dataset, allowing the model to refine its understanding and improve its performance on that specific task. Fine-tuning is essential for customizing the general capabilities of a pretrained model to meet the particular needs of a given application, resulting in more accurate and relevant outputs. It is distinct from other processes like encrypting data, upgrading hardware, or simply increasing the complexity of the model architecture.

NEW QUESTION # 22
Which is NOT a capability of OCI Vision's image analysis?

A. Locating and extracting text in images
B. Translating text in images to another language
C. Assigning classification labels to images
D. Object detection with bounding boxes

Answer: B

Explanation:
OCI Vision's image analysis capabilities include locating and extracting text from images, assigning classification labels to images, and detecting objects with bounding boxes. However, translating text in images to another language is not a capability of OCI Vision's image analysis. This functionality typically requires an additional layer of processing, such as integration with a language translation service, which is beyond the scope of OCI Vision's core image analysis features.
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NEW QUESTION # 23
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The Oracle 1Z0-1122-25 certification exam offers a great opportunity to advance your career. With the Oracle Cloud Infrastructure 2025 AI Foundations Associate certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) exam you can stand out in a crowded job market. The Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

1Z0-1122-25 Exam Syllabus: https://www.prepawayexam.com/Oracle/braindumps.1Z0-1122-25.ete.file.html

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PASS GUARANTEED PASS-SURE 1Z0-1122-25 - TEST ORACLE CLOUD INFRASTRUCTURE 2025 AI FOUNDATIONS ASSOCIATE PDF

Pass Guaranteed Pass-Sure 1Z0-1122-25 - Test Oracle Cloud Infrastructure 2025 AI Foundations Associate Pdf